Application of LIDAR technology for monitoring and assessing particulate matter at Kanchanaburi Rajabhat University
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Abstract
Air pollution is a significant global environmental issue, profoundly impacting human health, ecosystems, and sustainable economic development. Particularly in densely populated educational institutions, standard measurement methods often face limitations in terms of frequency and spatial coverage. This study, therefore, investigates the consistency of particulate matter (PM2.5 and PM10) measurements between a LIDAR system installed at Kanchanaburi Rajabhat University and data from a Beta Attenuation Monitor operated by the Pollution Control Department located in Pak Phraek Subdistrict, 15 kilometers away. Data were collected from five key points within the university over four months, alongside environmental factors and traffic volume. The findings reveal that the area near the main entrance recorded the highest particulate levels (PM2.5: 28.5 ± 3.2, PM10: 52.3 ± 5.1 μg/m³), while green spaces showed the lowest levels (PM2.5: 17.3 ± 2.0, PM10: 32.8 ± 3.5 μg/m³). Correlation analysis indicates a positive relationship between traffic volume and particulate levels (r = 0.71), whereas wind speed exhibits a negative correlation (r = -0.58). This research contributes to the development of guidelines for effectively applying LIDAR technology in monitoring and managing air quality in educational institutions.
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References
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